{"id":"W3130900021","doi":"10.1111/ddi.13244","title":"No place to hide: Rare plant detection through remote sensing","year":2021,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alberta Museum; Université du Québec en Abitibi-Témiscamingue","funders":"Environment and Climate Change Canada","keywords":"Rare species; Habitat; Phenology; Rare events; Biology; Ecology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003277513,0.0006815162,0.0006416622,0.004198863,0.000249247,0.002181086,0.0008716318,0.0008163502,0.001126633],"category_scores_gemma":[0.00733873,0.0002415474,0.0009120955,0.002038751,0.0006619841,0.002539184,0.001071203,0.0007925965,0.000296314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006513948,"about_ca_system_score_gemma":0.0007519729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008237123,"about_ca_topic_score_gemma":0.01150183,"domain_scores_codex":[0.9983485,0.0006852814,0.0001288472,0.0003619757,0.0004192502,0.00005615564],"domain_scores_gemma":[0.9930938,0.004562669,0.001207147,0.00018322,0.0008691296,0.00008398484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003403098,0.00009501274,0.1025917,0.01506383,0.001623113,0.0008777673,0.0007271029,0.01440311,0.009763966,0.006728054,0.006340571,0.8414453],"study_design_scores_gemma":[0.0001520823,0.001818613,0.3979456,0.0288416,0.007284109,0.005851205,0.008417937,0.282059,0.04047777,0.08487266,0.1412961,0.0009834074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3317496,0.4226102,0.1946613,0.0120686,0.001220538,0.0003196948,0.005219115,0.0007080382,0.03144284],"genre_scores_gemma":[0.8822838,0.05821962,0.05499332,0.001263093,0.000527958,0.0000809263,0.001196663,0.00003512616,0.001399445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008237123,"threshold_uncertainty_score":0.01733333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276632995746671,"score_gpt":0.2264336588640635,"score_spread":0.1936673289065968,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}